Refractivity and Refractivity Gradient Estimation From Radar Phase Data: A Least Squares Based Approach-Reference-Cited by-同舟云学术

Refractivity and Refractivity Gradient Estimation From Radar Phase Data: A Least Squares Based Approach

Published:2023 Issue: Volume:61 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

López Rubén Nocelo¹^ORCID,Sánchez-Rama Brais¹^ORCID,Santalla del Río Verónica¹^ORCID,Barbosa Sergio²^ORCID,Narciso Paulo²,Pérez-Santalla Román³,Pettazzi Alberto⁴,Pinto Paulo²,Salsón Santiago⁴,Viegas Tânia²

Affiliation:

1. AtlanTTic Research Center, Universidade de Vigo, Vigo, Spain

2. Portuguese Institute for Sea and Atmosphere (IPMA), Lisbon, Portugal

3. University Carlos III, Madrid, Spain

4. Xunta de Galicia, Santiago de Compostela, MeteoGalicia, Spain

Funder

LIFE Program of the European Union

Xunta de Galicia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10064321.pdf?arnumber=10064321

Reference30 articles.

1. Radar Refractivity Retrievals in Oklahoma: Insights into Operational Benefits and Limitations

2. Simulation and Interpretation of the Phase Data Used by the Radar Refractivity Retrieval Algorithm

3. Two-dimensional variational analysis of near-surface moisture from simulated radar refractivity-related phase change observations

4. Convective-scale assimilation of radar data: Progress and challenges

5. On the statistical properties of generalized Rice multipath fading channels

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1. Refractivity Observations from Radar Phase Measurements: The 22 May 2002 Dryline Case during IHOP Project;Atmosphere;2023-12-27

2. Radar-Based Refractivity Maps Using Geostatistical Interpolation;IEEE Geoscience and Remote Sensing Letters;2023